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Sensor Algorithm Engineer Jobs in Azusa, CA (NOW HIRING)

Leads technical aspects of solving complex sensor performance issues, root cause investigations and risk assessments. * Partners with engineering, algorithm, clinical, regulatory, quality, and ...

As a GNC Engineer at Inversion, you will have an instrumental impact on the functionality and ... algorithms including Kalman filtering, sensor fusion, and state estimation. * Solid grasp of ...

Lead Navigations Engineer

Hawthorne, CA

$103K - $136K/yr

Support the development of guidance, navigation, and control (GNC) simulations, sensor models, and ... Analyze localization algorithm performance under real-world conditions, including faulty sensors ...

Work closely with the simulation and software teams to prototype and analyze GNC algorithms in the ... Experience developing perception, navigation, or autonomy software, including sensor integration ...

Principal GNC Engineer

Hawthorne, CA · On-site

$180K - $235K/yr

Work closely with the simulation and software teams to prototype and analyze GNC algorithms in the ... Deep expertise in perception and navigation systems, including sensor integration, image processing ...

Work closely with the simulation and software teams to prototype and analyze GNC algorithms in the ... Experience developing perception, navigation, or autonomy software, including sensor integration ...

Lead GNC and Perception Engineer

Hawthorne, CA · On-site

$104K - $137K/yr

Work closely with the simulation and software teams to prototype and analyze GNC algorithms in the ... Deep expertise in perception and navigation systems, including sensor integration, image processing ...

Work closely with the simulation and software teams to prototype and analyze GNC algorithms in the ... Deep expertise in perception and navigation systems, including sensor integration, image processing ...

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Sensor Algorithm Engineer information

See Azusa, CA salary details

$60.5K

$113.6K

$206.5K

How much do sensor algorithm engineer jobs pay per year?

As of Jul 10, 2026, the average yearly pay for sensor algorithm engineer in Azusa, CA is $113,567.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,900.00 and $134,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Sensor Algorithm Engineer, and why are they important?

To thrive as a Sensor Algorithm Engineer, you need a strong background in signal processing, sensor physics, and applied mathematics, often supported by a degree in electrical engineering, computer science, or a related field. Familiarity with programming languages such as Python or C++, tools like MATLAB, and experience with sensor data fusion systems are typically required. Strong analytical thinking, problem-solving, and effective communication skills help you collaborate across multidisciplinary teams and interpret complex data. These skills are essential to develop robust algorithms that ensure accurate sensor performance and drive innovation in fields like automotive, robotics, and consumer electronics.

What does a Sensor Algorithm Engineer do?

A Sensor Algorithm Engineer designs, develops, and tests algorithms that process data from various sensors, such as cameras, accelerometers, gyroscopes, or environmental sensors. Their work involves creating mathematical models and software to interpret sensor data for applications like robotics, autonomous vehicles, mobile devices, or IoT systems. They collaborate with hardware engineers and software developers to ensure accurate and reliable sensor performance. The role often requires expertise in signal processing, machine learning, and embedded systems.

What is the difference between Sensor Algorithm Engineer vs Signal Processing Engineer?

AspectSensor Algorithm EngineerSignal Processing Engineer
Required CredentialsBachelor's or Master's in Electrical Engineering, Computer Science, or related fields; knowledge of sensor systemsBachelor's or Master's in Electrical Engineering, Computer Science, or related fields; expertise in signal processing techniques
Work EnvironmentDevelops algorithms for sensors in automotive, consumer electronics, or industrial applicationsDesigns and implements signal processing algorithms across various industries including communications and audio
Employer & Industry UsageUsed by companies developing sensor-based systems like IoT devices, autonomous vehicles, and roboticsCommon in telecommunications, audio engineering, and image processing sectors

While both roles involve algorithm development and require similar educational backgrounds, Sensor Algorithm Engineers focus on creating algorithms specifically for sensor data interpretation, whereas Signal Processing Engineers work on processing signals from various sources, including sensors, for broader applications.

How does a Sensor Algorithm Engineer typically collaborate with hardware and software teams during product development?

Sensor Algorithm Engineers often serve as a bridge between hardware engineers and software developers. They work closely with hardware teams to understand sensor specifications and limitations while collaborating with software teams to integrate algorithms into embedded systems or applications. Regular cross-disciplinary meetings and iterative testing are common, ensuring that sensor data is accurately interpreted and that the algorithms perform reliably under real-world conditions. This collaborative environment helps drive innovation and ensures that final products meet both technical and user requirements.
What job categories do people searching Sensor Algorithm Engineer jobs in Azusa, CA look for? The top searched job categories for Sensor Algorithm Engineer jobs in Azusa, CA are:
What cities near Azusa, CA are hiring for Sensor Algorithm Engineer jobs? Cities near Azusa, CA with the most Sensor Algorithm Engineer job openings:

$140K - $170K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 19 days ago


Job description

EMBEDDED CONTROLS ENGINEER

Mesh Optical Technologies was founded on the belief that optical photons will be at the center of advanced technologies in the coming century. Making advanced technology ubiquitous means building at scale, and that's exactly what we're doing at Mesh.

Our products and factory equipment rely on real-time control systems that must be precise, stable, and fast-from thermal regulation and optical alignment loops to motion control and process automation. We are seeking an Embedded Controls Engineer who combines deep embedded programming expertise with strong controls and algorithms knowledge. You will design, implement, and tune the control systems that keep our hardware operating at the edge of its performance envelope.

RESPONSIBILITIES

  • Design, implement, and tune real-time control loops (PID, state-space, feedforward, adaptive) for thermal management, optical alignment, motion control, and process regulation across product and factory systems
  • Develop embedded firmware in C/C++ for microcontrollers and DSPs, including bare-metal and RTOS-based architectures, with emphasis on deterministic timing and low-latency execution
  • Model and simulate control systems to predict dynamic behavior, assess stability margins, and validate controller designs prior to hardware deployment
  • Implement sensor fusion, filtering (Kalman, complementary), and signal conditioning algorithms to extract clean, actionable signals from noisy real-world measurements
  • Bring up and integrate new sensors, actuators, and motor drives, defining hardware-software interfaces and writing low-level drivers (IC, SPI, ADC, PWM, encoder interfaces)
  • Develop calibration routines and self-tuning algorithms that enable production-scale deployment of control systems with unit-to-unit variation
  • Instrument control systems for observability-logging, telemetry, and diagnostic interfaces that support real-time monitoring, fault detection, and post-hoc analysis
  • Collaborate with electrical, mechanical, optical, and manufacturing engineering teams to co-design systems where control performance is tightly coupled to hardware design
  • Support production deployment of control systems, including validation, fault handling, and graceful degradation strategies for field-deployed units
  • Contribute to Python-based tooling for system identification, data analysis, simulation, and automated testing of control system performance

QUALIFICATIONS

  • Bachelor's or Master's degree in electrical engineering, computer engineering, mechanical engineering, aerospace engineering, or a related discipline with coursework in control systems
  • 2+ years of experience designing and implementing real-time control systems on embedded platforms
  • Strong proficiency in C and/or C++ for embedded development, including experience with bare-metal and RTOS environments
  • Solid foundation in classical and modern control theory, including PID tuning, frequency-domain analysis, and stability assessment
  • Experience with sensor integration, actuator interfacing, and low-level peripheral drivers (IC, SPI, ADC, PWM, encoders)
  • Proficiency in Python or MATLAB for modeling, simulation, data analysis, and test automation
  • Strong debugging skills across hardware and software boundaries, including use of oscilloscopes, logic analyzers, and serial debug interfaces
  • Ability to work independently in fast-moving, cross-functional environments
  • Willingness to work extended hours and weekends as needed

PREFERRED EXPERIENCE

  • Experience with advanced control techniques: state-space controllers, LQR/LQG, model predictive control (MPC), adaptive control, or system identification methods
  • Experience with motion control systems, including stepper and servo motor drives, trajectory planning, and encoder feedback
  • Experience with thermal control systems, including multi-zone regulation and transient thermal management
  • Familiarity with optical or photonic systems where control loops manage alignment, power regulation, or wavelength tuning
  • Experience with FPGA-based control implementations or high-speed digital control loops
  • Experience with hardware-in-the-loop (HIL) testing and simulation environments
  • Background in robotics, precision mechatronics, or semiconductor equipment
  • Experience deploying control systems at production scale, including calibration, self-test, and fault recovery for high-volume manufactured products
  • Familiarity with version control (Git), CI/CD pipelines, and collaborative embedded development workflows

COMPENSATION AND BENEFITS:

Pay range: 
Embedded Controls Engineer: $140,000.00 - $170,000.00/per year

Title and base salary are determined on a case by case basis commensurate with experience and merit.

In addition to base salary, compensation for this role includes:

  • Eligibility for long-term incentives including company stock options and discretionary bonuses awarded for exceptional achievements.
  • Comprehensive medical, vision, and dental insurance with significant cost covered by the company for yourself and dependents.
  • Paid parental leave and flexible PTO (3 weeks accrued vacation and 10 company holidays per year).
  • 401(k) retirement plan access.
  • Relocation assistance to sunny Los Angeles.